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- Bibliografia Publikacji Pracowników IUNG-PIB jest zbiorem opisów bibliograficznych publikacji pracowników Instytutu.
- Czasopisma naukowe: Polish Journal of Agronomy (kontynuacja Pamiętnika Puławskiego); Nawozy i Nawożenie ( Fertilizers and Fertilization)
- "Pamiętnik Puławski" jest kontynuacją ukazującego się w okresie międzywojennym "Pamiętnika PINGW". Publikacja zawiera syntetyczne opracowania wyników badań prowadzonych przez pracowników IUNG, opatrzone streszczeniami w języku angielskimi i rosyjskim. W latach 1961-2010 opublikowano 152 zeszyty "Pamiętnika Puławskiego". Kontynuatorem tej publikacji jest czasopismo "Polish Journal of Agronomy"
- Zbiór zawiera instrukcje upowszechnieniowe, wdrożeniowe, zalecenia agrotechniczne, materiały szkoleniowe.
- Zbiór zawiera prace doktorskie obronione w IUNG-PIB oraz Monografie i Rozprawy Naukowe
Recent Submissions
The Impact of Fresh Blueberry Addition on the Extrusion-Cooking Process, Physical Properties and Antioxidant Potential of Potato-Based Snack Pellets
(MDPI, 2025-05) Combrzyński, Maciej; Soja, Jakub; Oniszczuk, Tomasz; Wojtunik-Kulesza, Karolina; Kręcisz, Magdalena; Mołdoch, Jarosław; Biernacka, Beata
The aim of the study was to develop a new generation of potato-based snack granules enriched with fresh blueberries and evaluate the extrusion-cooking process along with selected physical properties. Blueberries were added in varying amounts (10%, 20%, and 30%) as an ingredient for the semi-finished product. The analysis focused on the impact of moisture content, screw speed, and blueberry concentration on extrusion efficiency and product properties. The results showed significant effects of blueberry addition on extrusion-cooking efficiency (14.40 to 37.12 kg/h) and energy consumption (0.003 to 0.021 kWh/kg). Durability, bulk density, water absorption index (WAI) and water solubility index (WSI) were evaluated with values ranging from 95.46 to 97.61%, 345.07 to 547.37 kg/m3, 2.90 to 3.88 g/g and 8.23 to 18.52%. The incorporation of blueberries also eliminated the need for drying, reducing water consumption and energy demand. Additionally, the antioxidant potential of the blueberry-enriched samples was assessed, indicating improved health benefits (DPPH from 22.71 to 94.22%). Based on the results, the incorporation of up to 30% blueberries is recommended for optimal physical properties and enhanced antioxidant activity.
Effect of innovative mineral-organic mixtures on enzymatic activity, ecotoxicity, and microbial communities in contaminated soil
(Elsevier, 2025-05-13) Jarosz, Renata; Klimkowicz-Pawlas, Agnieszka; Biel, Karolina; Mokrzycki, Jakub; Musiałowski, Marcin; Dębiec-Andrzejewska, Klaudia; Mierzwa-Hersztek, Monika
The sustainable use of fertilizers to enhance food production while minimizing environmental impact is a pressing global challenge. Soil regeneration is especially critical for soils poor in organic matter and contaminated with heavy metals. This study investigated the effect of mineral-organic mixtures containing zeolite composites and organic additives (lignite/leonardite) on soil enzymes activity, ecotoxicity, and microbiological properties. Various doses of zeolite composites and organic additives were tested in a two-years pot experiment using soil with elevated levels of cadmium, zinc, and lead. Soil enzymes activity (dehydrogenase, urease, phosphatase, and arylsulfatase) were quantified, and soil ecotoxicity was assessed using Microtox®, Phytotoxkit, and Ostracodtoxkit assays. Microbial abundance, diversity, and community structure were analyzed via culturable methods and DNA sequencing. Mixtures containing zeolite-vermiculite composite had the most pronounced positive effect on enzymes activity. Notably, mixture with 3 % zeolite-carbon composite and 3 % leonardite significantly enhanced urease activity after the 2nd year (111 %). Mixtures containing zeolite–vermiculite composite showed an average GMea index about 10 % higher than those with zeolite–carbon composites. The GMea index proved more sensitive than TEI in assessing total enzymes activity and soil quality. Soil microbiological studies showed that the quantity and overall structure of the microbiome remained stable after the application of mineral-organic mixtures. The dominant taxa at the phylum level were Proteobacteria (16.17–18.73 %), Planctomycetota (16.17–18.73 %), Chloroflexi (14.99–18.49 %), and Actinobacteriota (11.28–14.86 %). The mixtures did not affect the diversity of soil microorganisms, suggesting a neutral effect on the soil ecosystem. The greatest reduction in water-soluble Cd, Zn, and Pb was achieved with the mixtures containing zeolite-carbon composite and lignite. The results demonstrate the impact of mineral-organic additives on soil ecotoxicity, which is of significant importance from an environmental and sustainable soil management perspective. The outcomes of this study may prove to be a factor in the formulation of effective remediation strategies for contaminated soils.
Cereal and Rapeseed Yield Forecast in Poland at Regional Level Using Machine Learning and Classical Statistical Models
(MDPI, 2025) Okupska, Edyta; Gozdowski, Dariusz; Pudełko, Rafał; Wójcik-Gront, Elżbieta
This study performed in-season yield prediction, about 2–3 months before theharvest, for cereals and rapeseed at the province level in Poland for 2009–2024. Variousmodels were employed, including machine learning algorithms and multiple linear regression.The satellite-derived normalized difference vegetation index (NDVI) and climaticwater balance (CWB), calculated using meteorological data, were treated as predictors ofcrop yield. The accuracy of the models was compared to identify the optimal approach.The strongest correlation coefficients with crop yield were observed for the NDVI at thebeginning of March, ranging from 0.454 for rapeseed to 0.503 for rye. Depending on thecrop, the highest R2 values were observed for different prediction models, ranging from0.654 for rapeseed based on the random forest model to 0.777 for basic cereals based onlinear regression. The random forest model was best for rapeseed yield, while for cereal, thebest prediction was observed for multiple linear regression or neural network models. Forthe studied crops, all models had mean absolute errors and root mean squared errors notexceeding 6 dt/ha, which is relatively small because it is under 20% of the mean yield. Forthe best models, in most cases, relative errors were not higher than 10% of the mean yield.The results proved that linear regression and machine learning models are characterized bysimilar predictions, likely due to the relatively small sample size (256 observations).
The Influence of Integrated and Intensive Grain Production on the Content and Properties of Chemical Components in Rye Grain
(MDPI, 2025) Buksa, Krzysztof; Sułek , Alicja; Skrzypek, Michał
The effect of integrated and intensive grain production technologies on the contentand properties of chemical components in rye (Secale cereale L.) grain of new varietiesis not known. This study aimed to examine the effect of production technology on thecontent and properties of chemical components of rye grain. Grain from four Polish ryevarieties obtained as a result of integrated and intensive production was examined. Ingeneral, the use of intensive technology resulted in receiving a 7.9% higher yield of grainwith a 3.7% higher content of starch, characterized by a higher share of amylose and lowermolar mass compared to grain cultivated using the integrated method. Moreover, grainfrom intensive production contained 0.6% more water-soluble arabinoxylan of a high molarmass but a lower content of ferulic acid, compared to grain obtained by the integratedmethod. Rye grain from intensive production contained 0.4% more protein, 0.3% moresoluble dietary fiber, and similar amounts of phytates than grain cultivated using the integratedmethod. Regardless of the production method, the hybrid varieties KWS Vinettoand KWS Bono had the highest grain yield and grain with a low content of protein, totaland soluble dietary fiber, and extractable arabinoxylan of a high molar mass but low contentof ferulic acid.
Comparison of spring barley (Hordeum vulgare L.) varieties grown in organic farming conditions: lodging and plant height
(The Scientific Agricultural Society of Finland, 2025) Lenartowicz, Tomasz; Bujak, Henryk; Przystalski, Marcin; Nowosad, Kamila; Jończyk, Krzysztof; Feledyn-Szewczyk, Beata
Lodging is one of the main factors influencing yield reduction in both organic and conventional systems. In the organic system, lodging is mainly controlled by selecting varieties with increased resistance to lodging, by regulating sowing density, or by cultivation of varieties of appropriate height. The present study aimed to compare ten varieties tested in the years 2020–2022 in organic trials in terms of plant height and resistance to lodging in two growth phases (milk and harvest). Depending on the analyzed trait, a linear or cumulative link linear mixed model was fitted on plot data. The analyses showed that variety Farmer was the most resistant to lodging in the two growth phases, whereas varieties KWS Vermont and Rubaszek were less resistant to lodging in two growth phases than Farmer, but only at the milk phase, the differences were significant. Furthermore, Radek was the tallest among the tested varieties, whereas Farmer was classified as mid-tall. According to Wricke’s ecovalence coefficient, Bente was the most stable, while Farmer ranked third. Therefore, varieties that are the most resistant to lodging and are the most stable in terms of height, should be promoted for cultivation.